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Updated: Jul 19, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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自适应和纹理生成:用于低剂量CT消噪的混合损失函数

Zhenchuan Wang1,2, Minghui Liu1,3, Xuan Cheng1,3

  • 1Yangtze Delta Region Institute(Quzhou), University of Electronic Science and Technology of China, Quzhou, China.

Journal of applied clinical medical physics
|August 12, 2023
PubMed
概括

本研究引入了一种新的混合损失函数,用于低剂量CT (LDCT) 无声化. 这种新方法通过保留纹理细节和提高医学成像诊断价值来提高图像质量.

关键词:
这就是为什么CTCTCTCTCTCT深度学习是一种深度学习.德诺瓦斯 (Denoise) 是一个混合损失 混合损失 混合损失

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